Dynamic risk situation awareness method for low-altitude airspace unmanned aerial vehicle operation

The invention is suitable for the field of unmanned aerial vehicle flight, and provides a dynamic risk situation awareness method for low-altitude airspace unmanned aerial vehicle operation, which utilizes a plurality of radars to dynamically monitor the unmanned aerial vehicle operation trajectory of the whole low-altitude airspace, and calculates the position, speed, acceleration and displacement of the unmanned aerial vehicle at any moment based on radar fusion calculation. And deducing the space-time evolution trend of each unmanned aerial vehicle by using deep learning, calculating the collision risk index between any two unmanned aerial vehicles at present and in the future from the microcosmic aspect, calculating the collision risk index of the whole low-altitude airspace at present and in the future from the macroscopic aspect, and dynamically warning the microcosmic and macroscopic collision risk degrees of the low-altitude airspace according to a safety threshold. Therefore, data support is provided